AI's 'Inshitification' Paves Way for Local Models

Summary

Cloud-based AI tools are becoming increasingly "inshitified," meaning features are removed, prices increase, and the overall user experience degrades, mirroring trends seen in services like Airbnb and Netflix. This is exemplified by recent changes to GitHub Copilot and Claude Code, where subscription plans have become less valuable, and usage limits are introduced. The core issue is the unsustainable cost of compute for cloud providers, forcing them to reduce service quality or raise prices. This creates a significant opportunity for local AI solutions. Unlike cloud services with ever-changing terms, local AI models run on your device, offering predictable performance and costs. While cloud AI might offer a slight edge in some complex tasks, the risk of paying for degraded services or unpredictable expenses makes local AI increasingly attractive, especially as hardware improves and more powerful models become runnable on personal devices. The speaker believes that for many productivity and coding tasks, local AI offers a more reliable and cost-effective long-term solution, even if it requires some user effort to learn and manage.